Uncovering the Connections Between Adversarial Transferability and
Knowledge Transferability

Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability

25 June 2020

Oluwasanmi Koyejo

Papers citing "Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability"

18 / 18 papers shown

Title
Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer Enming Zhang Liwen Cao Yanru Wu Zijie Zhao Guan Wang Yang Li 47 0 0 09 Apr 2025
Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language Attack Xiaojun Jia Sensen Gao Qing-Wu Guo Ke Ma Yihao Huang Simeng Qin Yang Janet Liu Ivor Tsang Fellow Xiaochun Cao AAML 40 3 0 04 Nov 2024
Exploring Adversarial Robustness of Deep State Space Models Biqing Qi Yang Luo Junqi Gao Pengfei Li Kai Tian Zhiyuan Ma Bowen Zhou AAML 38 1 0 08 Jun 2024
Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization Yujia Liu Chenxi Yang Dingquan Li Jianhao Ding Tingting Jiang 19 3 0 18 Mar 2024
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems Guangjing Wang Ce Zhou Yuanda Wang Bocheng Chen Hanqing Guo Qiben Yan AAML SILM 55 3 0 20 Nov 2023
A Survey on Transferability of Adversarial Examples across Deep Neural Networks Jindong Gu Xiaojun Jia Pau de Jorge Wenqain Yu Xinwei Liu ... Anjun Hu Ashkan Khakzar Zhijiang Li Xiaochun Cao Philip H. S. Torr AAML 27 26 0 26 Oct 2023
SoK: Pitfalls in Evaluating Black-Box Attacks Fnu Suya Anshuman Suri Tingwei Zhang Jingtao Hong Yuan Tian David E. Evans AAML 24 6 0 26 Oct 2023
Why Does Little Robustness Help? Understanding and Improving Adversarial Transferability from Surrogate Training Yechao Zhang Shengshan Hu Leo Yu Zhang Junyu Shi Minghui Li Xiaogeng Liu Wei Wan Hai Jin AAML 22 21 0 15 Jul 2023
A Survey on Out-of-Distribution Evaluation of Neural NLP Models Xinzhe Li Ming Liu Shang Gao Wray L. Buntine 14 20 0 27 Jun 2023
Is Pre-training Truly Better Than Meta-Learning? Brando Miranda P. Yu Saumya Goyal Yu-xiong Wang Oluwasanmi Koyejo 39 5 0 24 Jun 2023
Publishing Efficient On-device Models Increases Adversarial Vulnerability Sanghyun Hong Nicholas Carlini Alexey Kurakin AAML 30 2 0 28 Dec 2022
UPTON: Preventing Authorship Leakage from Public Text Release via Data Poisoning Ziyao Wang Thai Le Dongwon Lee 22 1 0 17 Nov 2022
Towards Good Practices in Evaluating Transfer Adversarial Attacks Zhengyu Zhao Hanwei Zhang Renjue Li R. Sicre Laurent Amsaleg Michael Backes AAML 14 20 0 17 Nov 2022
The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence Brando Miranda P. Yu Yu-xiong Wang Oluwasanmi Koyejo 23 10 0 02 Aug 2022
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization Xiaojun Xu Jacky Y. Zhang Evelyn Ma Danny Son Oluwasanmi Koyejo Bo-wen Li 20 10 0 03 Feb 2022
The Curse of Zero Task Diversity: On the Failure of Transfer Learning to Outperform MAML and their Empirical Equivalence Brando Miranda Yu-xiong Wang Sanmi Koyejo 16 0 0 24 Dec 2021
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training Lue Tao Lei Feng Jinfeng Yi Sheng-Jun Huang Songcan Chen AAML 26 71 0 09 Feb 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,950 0 20 Apr 2018